Learning Design & Intelligence Lab

LDI Lab


Designing meaningful learning through multimodal evidence and AI.

We build intelligent learning systems that understand learners, adapt in real time, and support better learning processes and outcomes.


Prof. Yoonhee Shin · Department of Educational Technology · Hanyang University
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Learning Design & Intelligence Lab

About the lab

Understanding learning.
Designing intelligent support.

We leverage multimodal evidence and AI to understand how diverse learners
think, interact, and regulate their learning, and to design adaptive and intelligent support.

OUR RESEARCH FRAMEWORK

Learning
1

Understand

Learning - Understand
menu_book Learning
chat Interaction
tune Regulation
person Agency
Multimodal Evidence
2

Sense & Analyze

Learning - Understand
chat Discourse
directions_run Behavior
neurology Physiological
Signals
laptop_mac Digital
Traces
Intelligence
3

Predict & Infer

Learning - Understand
hub Multimodal /
Process Analytics
deployed_code Deep
Learning
chat RAG-LLM
search XAI
(Explainable AI)
Adaptive Support
4

Design & Develop

Learning - Understand
monitoring Adaptive
Systems
smart_toy AI
Agents
menu_book Scaffolding
feedback Adaptive
Feedback
groups
Meaningful Learning
for Diverse Learners
Supporting meaningful learning, learner agency,
and equitable opportunities across diverse contexts.
volunteer_activism

Meaningful
Learning

person

Learner
Agency

balance

Equitable
Opportunities

Core Research Areas

What we study

model_training

Adaptive Learning and Instructional Design

devices

E-Learning and HyFlex Learning

groups

Problem-Based Learning and Computer-Supported Collaborative Learning (CSCL)

design_services

Design and Development Research

neurology

AI-Enabled Multimodal Learning Analytics

Projects

Current research projects

Project 01

Human Learning & Agency in AI-Mediated Environments

FOCUS

Human Agency Cognitive Offloading Self-Regulated Learning

APPROACH

Human-AI Interaction Multimodal Learning Analytics Adaptive AI Support

We examine how AI shapes self-regulation, decision-making, and agency, and design AI support that sustains critical thinking and learner control.

연계 연구과제

Cognitive Offloading의 멀티모달 탐지·예측 및 실시간 코칭 시스템 개발

과학기술정보통신부 개인기초연구사업 · 2026–2030 · 연구책임자

Project 02

Multimodal Analytics and Support Design for HyFlex Learning

FOCUS

HyFlex Learning Social & Cognitive Presence Learner Engagement

APPROACH

Multimodal Learning Analytics Physiological & Behavioral Signals Interpersonal Synchrony Analysis

We examine engagement and social-cognitive presence in HyFlex environments using multimodal data to inform effective learning models and support.

연계 연구과제

뇌·행동 동기화 기반 HyFlex 교육모델 및 교수지원 도구 개발

교육부 인문사회분야 공동연구지원사업 · 2026–2029 · 연구책임자

Project 03

Explainable Discourse Analytics for Collaborative Learning

FOCUS

CSCL Collaborative Problem Solving Meaningful Interaction SSMR

APPROACH

LLM-Based Discourse Analytics Deep Learning & Explainable AI (XAI) Human-AI Collaborative Interpretation

We analyze collaborative problem-solving in CSCL using AI-assisted discourse analytics, integrating XAI and pedagogical judgment for interpretable and meaningful analysis.

연계 연구과제

LLM 기반 사회적으로 공유된 메타인지 조절 담화 자동 분석

한양대학교 국제학술논문 지원사업 · 2026–2027 · 연구책임자

Project History

Research project history

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People

Our members

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Publications

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Contect

Interested in our work?

Hanyang University, Department of Educational Technology
Email: hyeshinlab@gmail.com